## load the package library(foghorn)
foghorn
provides the results of the package CRAN checks. As a
maintainer, you can easily get the results of the checks for your
packages by using the email address included in the DESCRIPTION
file
of your packages.
summary_cran_results()
provides you with a graphical summary of the
results of the CRAN checks. The number in parenthesis after the name
of the package indicates the number of platforms used by CRAN that
produced this result.
## Graphical interface summary_cran_results(email = "francois.michonneau@gmail.com")
## ✔ All clear for foghorn, phylobase, and riceware!
## ★ Packages with notes on CRAN: ## - rncl (12) ## - rotl (10)
summary_cran_results()
is actually an alias of
summary(cran_results())
, meaning that you can call cran_results()
directly if you want to easily access the underlying data for the
results of the CRAN checks. These results are stored in a tibble.
## Results as a tibble cran_results(email = "francois.michonneau@gmail.com")
## # A tibble: 5 × 8 ## package error fail warn note ok deadline has_other_issues ## <chr> <int> <int> <int> <int> <int> <chr> <lgl> ## 1 foghorn 0 0 0 0 13 <NA> FALSE ## 2 phylobase 0 0 0 0 13 <NA> FALSE ## 3 riceware 0 0 0 0 13 <NA> FALSE ## 4 rncl 0 0 0 12 1 <NA> FALSE ## 5 rotl 0 0 0 10 3 <NA> FALSE
In addition of your own packages, you can also check the results for any other packages that might be of interest to you:
## either by themselves summary_cran_results(pkg = c("ggplot2", "dplyr"))
## ★ Packages with notes on CRAN: ## - dplyr (5) ## - ggplot2 (8)
cran_results(pkg = c("ggplot2", "dplyr"))
## # A tibble: 2 × 8 ## package error fail warn note ok deadline has_other_issues ## <chr> <int> <int> <int> <int> <int> <chr> <lgl> ## 1 dplyr 0 0 0 5 8 <NA> FALSE ## 2 ggplot2 0 0 0 8 5 <NA> FALSE
## or by combining them with email addresses summary_cran_results(email = "francois.michonneau@gmail.com", pkg = c("arrow", "duckdb"))
## ✔ All clear for foghorn, phylobase, and riceware!
## ⚠ Package with warnings on CRAN: ## - duckdb (5) [Fix before: 2024-07-10]
## ★ Packages with notes on CRAN: ## - arrow (11) ## - duckdb (6) [Fix before: 2024-07-10] ## - rncl (12) ## - rotl (10)
## ◉ Package with other issues on CRAN: ## - duckdb [Fix before: 2024-07-10]
cran_results(email = "francois.michonneau@gmail.com", pkg = c("arrow", "duckdb"))
## # A tibble: 7 × 8 ## package error fail warn note ok deadline has_other_issues ## <chr> <int> <int> <int> <int> <int> <chr> <lgl> ## 1 arrow 0 0 0 11 2 <NA> FALSE ## 2 duckdb 0 0 5 6 2 2024-07-10 TRUE ## 3 foghorn 0 0 0 0 13 <NA> FALSE ## 4 phylobase 0 0 0 0 13 <NA> FALSE ## 5 riceware 0 0 0 0 13 <NA> FALSE ## 6 rncl 0 0 0 12 1 <NA> FALSE ## 7 rotl 0 0 0 10 3 <NA> FALSE
You can inspect the logs for the check results using
summary_cran_details(pkg)
(or summary(cran_details(pkg))
), while
visit_cran_check(pkg)
takes you directly to the CRAN webpage.
tidyr_details <- cran_details(pkg = "tidyr") tidyr_details
## # A tibble: 5 × 7 ## package version result check flavors n_flavors message ## <chr> <chr> <chr> <chr> <chr> <dbl> <chr> ## 1 tidyr 1.3.1 NOTE compiled code r-deve… 2 " … ## 2 tidyr 1.3.1 NOTE data for non-ASCII characters r-deve… 2 " … ## 3 tidyr 1.3.1 NOTE compiled code r-deve… 2 " … ## 4 tidyr 1.3.1 NOTE compiled code r-deve… 2 " … ## 5 tidyr 1.3.1 ERROR re-building of vignette outp… r-rele… 2 " …
summary(tidyr_details)
## ★ tidyr - note: compiled code ## ❯ r-devel-linux-x86_64-debian-clang ## ❯ r-devel-linux-x86_64-debian-gcc ## ## File ‘tidyr/libs/tidyr.so’: ## Found non-API calls to R: ‘SETLENGTH’, ‘SET_GROWABLE_BIT’, ## ‘SET_TRUELENGTH’ ## ## Compiled code should not call non-API entry points in R. ## ## See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual. ## See section ‘Moving into C API compliance’ in the ‘Writing R ## Extensions’ manual for issues with use of non-API entry points. ## ## ★ tidyr - note: data for non-ASCII characters ## ❯ r-devel-linux-x86_64-fedora-clang ## ❯ r-devel-linux-x86_64-fedora-gcc ## ## Note: found 24 marked UTF-8 strings ## ## ★ tidyr - note: compiled code ## ❯ r-devel-linux-x86_64-fedora-clang ## ❯ r-devel-linux-x86_64-fedora-gcc ## ## File ‘tidyr/libs/tidyr.so’: ## Found non-API calls to R: ‘SETLENGTH’, ‘SET_GROWABLE_BIT’, ## ‘SET_TRUELENGTH’ ## ## Compiled code should not call non-API entry points in R. ## ## See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual, ## and section ‘Moving into C API compliance’ for issues with the use of ## non-API entry points. ## ## ★ tidyr - note: compiled code ## ❯ r-devel-windows-x86_64 ## ## File 'tidyr/libs/x64/tidyr.dll': ## Found non-API calls to R: 'SETLENGTH', 'SET_GROWABLE_BIT', ## 'SET_TRUELENGTH' ## ## Compiled code should not call non-API entry points in R. ## ## See 'Writing portable packages' in the 'Writing R Extensions' manual. ## See section 'Moving into C API compliance' in the 'Writing R ## Extensions' manual for issues with use of non-API entry points. ## ## ✖ tidyr - error: re-building of vignette outputs ## ❯ r-release-macos-arm64 ## ## Error(s) in re-building vignettes: ## --- re-building ‘in-packages.Rmd’ using rmarkdown ## --- finished re-building ‘in-packages.Rmd’ ## ## --- re-building ‘nest.Rmd’ using rmarkdown ## --- finished re-building ‘nest.Rmd’ ## ## --- re-building ‘pivot.Rmd’ using rmarkdown ## ## Quitting from lines 44-47 [setup] (pivot.Rmd) ## Error: processing vignette 'pivot.Rmd' failed with diagnostics: ## there is no package called 'readr' ## --- failed re-building ‘pivot.Rmd’ ## ## --- re-building ‘programming.Rmd’ using rmarkdown ## --- finished re-building ‘programming.Rmd’ ## ## --- re-building ‘rectangle.Rmd’ using rmarkdown ## --- finished re-building ‘rectangle.Rmd’ ## ## --- re-building ‘tidy-data.Rmd’ using rmarkdown ## --- finished re-building ‘tidy-data.Rmd’ ## ## SUMMARY: processing the following file failed: ## ‘pivot.Rmd’ ## ## Error: Vignette re-building failed. ## Execution halted
The data from the check results used by this package are either
scrapped from the CRAN web pages (default), or are from the CRAN
database (that CRAN uses to build the webpages). The first option is
faster if you want to regularly check a few packages. However, if you
are doing statistics on a large number of packages, using the CRAN
database is recommended (it's about 20Mb of data). To use the CRAN
database, add src = "crandb"
in your function calls:
cran_results(pkg = "nlme", src = "crandb")
Check out the "Details" section in the help files for more information.
Feel free to submit feedback and suggestions by opening an issue on GitHub.
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